AI Product Engineer (Full Stack) – AI/LLM Applications

Position Type: Full-Time, Remote
Working Hours: U.S. Business Hours

About the Role

We’re hiring an AI Product Engineer (Full Stack) to build and scale a real-world AI-powered product from the ground up.

This is a highly hands-on role for someone who can:

• Build full-stack applications end-to-end
• Integrate AI/LLMs into production systems
• Ship quickly and iterate fast
• Own architecture, performance, and reliability

This is not a maintenance-only role.

You’ll be building a live production platform that combines:

• Modern web application development
• AI-powered workflows
• Scalable backend systems
• Real-world operational functionality

If you enjoy:

• Building products
• Shipping fast
• Integrating AI into real use cases
• Solving technical problems independently

This role is a strong fit.

What You’ll Own

Full Stack Product Development

• Build and launch a production-ready web application from scratch
• Own both:
• Frontend development
• Backend architecture
• Ship features rapidly and improve the platform continuously post-launch
• Design scalable, maintainable system architecture

AI & LLM Integration

• Integrate AI models such as:
• Claude
• OpenAI
• Gemini
• Build AI-powered workflows and product experiences
• Implement:
• Prompt workflows
• Guardrails
• Hallucination handling
• Failure recovery systems
• Optimize AI outputs for reliability and usability

Backend Systems & APIs

• Build scalable APIs and backend services
• Work extensively with:
• Supabase
• PostgreSQL
• Authentication systems
• Permissions
• Real-time data flows
• Design efficient database structures and backend logic

Security, Reliability & Performance

• Implement:
• Authentication
• Role-based permissions
• Data protection best practices
• Improve:
• Scalability
• Performance
• Uptime
• User experience
• Debug production issues and optimize system stability

Product Collaboration

• Work directly with leadership and product stakeholders
• Translate ideas into production-ready technical solutions
• Iterate rapidly based on:
• Product feedback
• User behavior
• Operational needs

Requirements

Non-Negotiables

• Strong full-stack development experience
• Proven experience shipping real production products
• Hands-on experience integrating AI/LLMs into applications
• Strong understanding of:
• APIs
• Backend systems
• System architecture
• Scalable product design
• Experience with:
• Supabase
• Firebase
• PostgreSQL
• Similar backend platforms
• Understanding of AI limitations, including:
• Hallucinations
• Edge cases
• Prompt reliability
• Strong debugging and problem-solving ability
• Ability to work independently with high ownership

Nice to Have

• Experience building:
• AI agents
• Workflow automation systems
• SaaS platforms
• Familiarity with:
• Claude
• OpenAI APIs
• Vector databases
• RAG workflows
• Startup or MVP-to-production experience
• Exposure to:
• Logistics
• Aviation
• Operational platforms
• Membership systems

Tech Stack Exposure

Strong candidates may have experience with:

• React / Next.js
• TypeScript
• Node.js
• Supabase
• PostgreSQL
• REST APIs
• AI APIs (Claude, OpenAI, Gemini)
• Vercel
• Docker
• Cloud deployments

What a Typical Day Looks Like

• Build and ship new product features
• Develop frontend interfaces and backend APIs
• Integrate AI workflows into product experiences
• Improve prompt handling and AI reliability
• Debug production issues and optimize performance
• Collaborate with leadership on product direction
• Refactor systems for scalability and maintainability

In short: you build AI-powered products that are fast, scalable, reliable, and production-ready.

Success Looks Like

• Successful launch of production-ready applications
• Reliable AI workflows with minimal failures
• Fast feature delivery and iteration cycles
• Stable backend systems and APIs
• Reduced bugs and improved performance over time
• Scalable, maintainable architecture

Why This Role Stands Out

• High ownership and autonomy
• Build real AI products, not internal experiments
• Direct impact on product and technical direction
• Work with modern AI tooling and infrastructure
• Opportunity to scale products from MVP to production
• Fully remote flexibility

Interview Process

• Initial Screening Call
• Technical & Systems Design Interview
• Practical Product Build / AI Scenario
• Final Interview
• Internal Review & Offer

Apply Now

If you:

• Love building products from scratch
• Enjoy shipping fast and solving hard problems
• Have real AI and full-stack experience
• Want ownership in a fast-moving environment

This role is built for you.